\begin{table}[H] \centering   \caption{Balance on demographics variables}   \label{tab:B1} \scriptsize \begin{tabular}{@{\extracolsep{2pt}}lccccc} \hline \\[-1.8ex] \\[-0.5ex] \multicolumn{6}{l}{\textbf{Panel A: Respondent’s outcomes}} \\ \hline \\[-1ex]    & Age & \shortstack{Education \\ (BA)} & \shortstack{Number \\ of male \\ children} & \shortstack{Number \\ of female \\ children} & \shortstack{Other \\ family \\members} \\ \\[-1.8ex] & (1) & (2) & (3) & (4) & (5)\\ \hline \\[-1.8ex]  SM Individual & 0.096 & $-$0.021 & $-$0.028 & 0.062$^{*}$ & $-$0.135 \\   & ($-$0.616, 0.808) & ($-$0.047, 0.005) & ($-$0.097, 0.040) & ($-$0.006, 0.130) & ($-$0.379, 0.110) \\   & p = 0.793 & p = 0.110 & p = 0.423 & p = 0.072 & p = 0.281 \\   & & & & & \\  SM Group & $-$0.008 & $-$0.012 & $-$0.014 & 0.021 & $-$0.050 \\   & ($-$0.784, 0.767) & ($-$0.040, 0.017) & ($-$0.089, 0.061) & ($-$0.053, 0.094) & ($-$0.317, 0.216) \\   & p = 0.984 & p = 0.422 & p = 0.717 & p = 0.583 & p = 0.712 \\   & & & & & \\  TV & $-$0.144 & $-$0.020 & $-$0.058 & 0.027 & $-$0.141 \\   & ($-$0.918, 0.629) & ($-$0.048, 0.008) & ($-$0.132, 0.017) & ($-$0.046, 0.101) & ($-$0.407, 0.124) \\   & p = 0.715 & p = 0.163 & p = 0.128 & p = 0.468 & p = 0.298 \\   & & & & & \\ \hline \\[-1.8ex] Control Mean & 31.507 & 0.753 & 0.685 & 0.559 & 2.652 \\ Observations & 4,165 & 4,165 & 4,165 & 4,165 & 4,165 \\ R$^{2}$ & 0.161 & 0.518 & 0.136 & 0.120 & 0.101 \\  \hline \\[-0.5ex] \multicolumn{6}{l}{\textbf{Panel B: Whether married and husband’ outcomes}} \\ \hline \\[-1ex]  & Married & Age & \shortstack{Education \\(BA)} & \shortstack{Marriage \\ duration} & \shortstack{Husband \\ lives \\ at home} \\ \\[-1.8ex] & (1) & (2) & (3) & (4) & (5)\\ \hline \\[-1.8ex]  SM Individual & 0.012 & 7.235$^{*}$ & $-$0.035$^{**}$ & $-$0.336 & 0.021 \\   & ($-$0.020, 0.045) & ($-$1.294, 15.765) & ($-$0.067, $-$0.002) & ($-$1.180, 0.508) & ($-$0.024, 0.065) \\   & p = 0.460 & p = 0.097 & p = 0.037 & p = 0.436 & p = 0.360 \\   & & & & & \\  SM Group & 0.005 & 2.469 & $-$0.053$^{***}$ & $-$0.091 & 0.032 \\   & ($-$0.030, 0.041) & ($-$6.575, 11.513) & ($-$0.087, $-$0.018) & ($-$0.984, 0.803) & ($-$0.015, 0.079) \\   & p = 0.763 & p = 0.593 & p = 0.003 & p = 0.843 & p = 0.180 \\   & & & & & \\  TV & 0.002 & $-$1.299 & $-$0.042$^{**}$ & 0.427 & 0.018 \\   & ($-$0.033, 0.038) & ($-$10.432, 7.834) & ($-$0.077, $-$0.007) & ($-$0.476, 1.331) & ($-$0.029, 0.066) \\   & p = 0.906 & p = 0.781 & p = 0.019 & p = 0.355 & p = 0.449 \\   & & & & & \\ \hline \\[-1.8ex] Control Mean & 0.555 & 31.631 & 10.064 & 0.798 & 0.818 \\ Observations & 4,165 & 2,348 & 2,354 & 2,354 & 2,354 \\ R$^{2}$ & 0.401 & 0.057 & 0.561 & 0.163 & 0.079 \\ \hline \hline \\[-1.8ex] \multicolumn{6}{l} {\parbox[t]{12cm}{ \textit{Notes:} 
We report estimates from WGLS regressions where the weights are in the inverse probability of treatment assignment, 
including randomization block fixed effects. 95\% confidence intervals are in parenthesis. 
* denotes p$<$0.1, ** denotes p$<$0.05, and *** denotes p$<$0.01.}} \\\end{tabular} \end{table}  
